Want to hire Anaconda developer? Then you should know!
How and where is Anaconda used?
- Data Science: Analyzing customer behavior
- Machine Learning: Predicting stock prices
- Artificial Intelligence: Developing chatbots
- Big Data: Processing large datasets
- Computer Vision: Image recognition
- IoT: Monitoring smart devices
- Bioinformatics: DNA sequencing analysis
- Finance: Risk assessment modeling
- Healthcare: Medical image analysis
- E-commerce: Recommender systems
Compare Junior, Middle, Senior, and Expert/Team Lead Anaconda Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| $60,000 |
Middle | 3-5 years |
| $80,000 |
Senior | 6-8 years |
| $100,000 |
Expert/Team Lead | 9+ years |
| $120,000 |
Quick Facts about Anaconda.
- Created in 2001 by Continuum Analytics.
- Popular for data science, machine learning projects.
- Entry threshold is understanding Python programming.
- Popular related technology is Jupyter Notebooks.
- Fun fact: Anaconda is named after the largest snake.
TOP Anaconda Related Technologies
- Python (Guido van Rossum, 1991)
- NumPy (Travis Oliphant, 2006)
- Pandas (Wes McKinney, 2008)
- Matplotlib (John D. Hunter, 2003)
- Scikit-learn (David Cournapeau, 2007)
What are top Anaconda instruments and tools?
- Navigator: A tool to manage packages and environments – Anaconda Inc. (2016)
- Conda: Package, dependency, and environment management – Anaconda Inc. (2012)
- Jupyter Notebook: An open-source web application to create and share documents – Project Jupyter (2014)
- Spyder: A powerful IDE for Python – Anaconda Inc. (2009)
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Maria Lapko
Global Partnership Manager